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Cartographic visualization of density: exploring the opportunities and constraints of Heat Maps

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The authors of the review aim to understand and assess cartographic Heat Maps’ (HM) designs, tools, and applications. The paper consists of two parts. First describes HM in the context of neocartography and map design by tackling such issues as definition, input data, methods of density determination and generalization, colour schemes, legend construction, and base maps. The second part assesses the range of 17 tools used for creating HM. Tools are divided into non-GIS tools (visualization tools and programming libraries) and GIS applications (desktop and webGIS). GIS desktop software has been selected due to its popularity and wide application. Paper presents an expert assessment of this software with the use of a research questionnaire. The analysis made it possible to develop a division of tools based on their embedding in computer programs and applications and taking into account the types of visualization. It also made it possible to indicate tools that can be used by both professional GIS users (e.g. analysts, cartographers) and the general public, including teachers using HM to visualize geo data for geography lessons. The limitation of the review was the analysis from the expert’s point of view. It would be desirable to include novices perspectives in future studies due to the wide demand for visualization.
Słowa kluczowe
Rocznik
Strony
21--36
Opis fizyczny
Bibliogr. 58 poz., mapy, rys., tab.
Twórcy
  • University of Warsaw, Faculty of Geography and Regional Studies
  • University of Warsaw, Faculty of Geography and Regional Studies
  • University of Warsaw, Faculty of Geography and Regional Studies
Bibliografia
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  • Moon, J.-Y., Jung, H.-J., Moon, M. H., Chung, B. C., & Choi, M. H. (2009). Heat-map visualization of gas chromatography-mass spectrometry based quantitative signatures on steroid metabolism. Journal of the American Society for Mass Spectrometry, 20(9), 1626–1637. https://doi.org/10.1016/j.jasms.2009.04.020
  • Nelson, J. K., & MacEachren, A. M. (n.d.). User-centered Design and Evaluation of a Geovisualization Application Leveraging Aggregated Quantified-Self Data. Cartographic Perspectives, 96, 7–31. https://doi.org/10.14714/CP96.1631
  • Netek, R., Pour, T., & Slezakova, R. (2018). Implementation of Heat Maps in Geographical Information System – Exploratory Study on Traffic Accident Data. Open Geosciences, 10(1), 367–384. https://doi.org/10.1515/geo-2018-0029
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  • Pleil, J. D., Stiegel, M. A., Madden, M. C., & Sobus, J. R. (2011). Heat map visualization of complex environmental and biomarker measurements. Chemosphere, 84(5), 716–723. https://doi.org/10.1016/j.chemosphere.2011.03.017
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  • Polczynski, M., & Polczynski, M. (2014). A Microsoft VBA Application for Generating Heat Maps. Transactions in GIS, 18(5), 783–791. https://doi.org/ 10.1111/tgis.12082
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  • Silva, A. T., Ribone, P. A., Chan, R. L., Ligterink, W., & Hilhorst, H. W. M. (2016). A Predictive Coexpression Network Identifies Novel Genes Controlling the Seed-to-Seedling Phase Transition in Arabidopsis thaliana. Plant Physiology, 170(4), 2218–2231. https://doi.org/10.1104/pp.15.01704
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-53e61e0e-293f-4f41-bda4-24868a236797
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